Peichao Li

Orcid: 0000-0001-5295-3805

According to our database1, Peichao Li authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging.
CoRR, 2024

2023
Mesoscale functional connectivity in macaque visual areas.
NeuroImage, May, 2023

Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging.
Int. J. Comput. Assist. Radiol. Surg., 2023

2022
Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

2020
Parameter Identification of Multistage Fracturing Horizontal Well Based on PSO-RBF Neural Network.
Sci. Program., 2020

Automatic Microsurgical Skill Assessment Based on Cross-Domain Transfer Learning.
IEEE Robotics Autom. Lett., 2020

Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.
Int. J. Comput. Assist. Radiol. Surg., 2020

Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

ACNN: a Full Resolution DCNN for Medical Image Segmentation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation.
CoRR, 2019

Hybrid Trefftz polygonal elements for heat conduction problems with inclusions/voids.
Comput. Math. Appl., 2019

One-Stage Shape Instantiation from a Single 2D Image to 3D Point Cloud.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

U-Net Training with Instance-Layer Normalization.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019


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